利用模糊测度和模糊积分探讨公众态度

Ting-Yu Chen, G. Tzeng
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引用次数: 0

摘要

公众的支持是公共政策的关键问题。了解公众对政策的接受或拒绝,以及关注的重要属性,可能对政策的实施非常有帮助。然而,传统的态度模型利用可加性和独立性假设,很难准确地近似主观评价过程。因此,采用只要求边界条件和单调性的一般模糊测度和模糊积分来建立公众态度分析模型。以台北市压缩天然气(CNG)计程车政策为实证研究对象,验证此模型的适用性。实证结果表明,公众关注与政府宣传之间存在显著差异,并为政府提供了一些有价值的策略建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring the Public Attitude Using Fuzzy Measures and Fuzzy Integrals
People's support is the crucial issue to the public policy. The understanding of public acceptance or rejection towards the policy, as well as the important attributes of concern, could be very helpful to implementing the policy. However, conventional attitude models can hardly approximate the subjective evaluation process exactly by virtue of the additivity and independency assumptions. Therefore, general fuzzy measures and fuzzy integrals, which require only the boundary conditions and monotonicity, are applied to develop the public attitude analysis model. An empirical study on the compress natural gas (CNG) taxi policy in Taipei City is conducted to show the applicability of this model. The empirical results indicate there are significant differences between the public concern and the governmental publicity, and some valuable strategies are suggested to the government.
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